Data science folks,
I don't get to use stats on a day to day basis. Consequently, feel like I am loosing/lost grip on it.
I am looking for recommendations to rekindle with stats and get my hands dirty.
P.S: I struggle with starting things off. Specially if it's just a lot of reading. I would be more than happy to grab a pen & paper and solve problems. R or Python is just fine too.
Final goal of this exercise would be start using stats more often in my day to day job. Alternatively, also be interview ready 'if' there are lay offs due to covid.
Something I recently pen and papered:
Had some results from a Monte Carlo simulation ran(in python) to estimate number of covid cases. Split the data by country, used chi squared test of homogeneity (on paper) to figure out if there statistically significant variance in # of infected, recovered and healthy people.
#data #datascience #stats
Want to see the real deal?
More inside scoop? View in App
More inside scoop? View in App
blind
SUPPORT
FOLLOW US
DOWNLOAD THE APP:
FOLLOWING
Industries
Job Groups
- Software Engineering
- Product Management
- Information Technology
- Data Science & Analytics
- Management Consulting
- Hardware Engineering
- Design
- Sales
- Security
- Investment Banking & Sell Side
- Marketing
- Private Equity & Buy Side
- Corporate Finance
- Supply Chain
- Business Development
- Human Resources
- Operations
- Legal
- Admin
- Customer Service
- Communications
Return to Office
Work From Home
COVID-19
Layoffs
Investments & Money
Work Visa
Housing
Referrals
Job Openings
Startups
Office Life
Mental Health
HR Issues
Blockchain & Crypto
Fitness & Nutrition
Travel
Health Care & Insurance
Tax
Hobbies & Entertainment
Working Parents
Food & Dining
IPO
Side Jobs
Show more
SUPPORT
FOLLOW US
DOWNLOAD THE APP:
comments
https://www.openintro.org/book/isrs/
You can even choose your pick of Python or R for most of the labs!